The ARMAMaxLikelihood type exposes the following members.

Properties

NameDescription
BackwardOrigin
The maximum backward origin.
Confidence
The confidence level for calculating confidence limit deviations returned from GetDeviations.
Constant
The constant parameter in the ARMA series.
GradientTolerance
The gradient tolerance for the convergence algorithm.
InnovationVariance
The estimated innovation variance of this series.
Likelihood
The final estimate for -2\ln(L), where L is equal to the likelihood function evaluated using the final parameter estimates.
MaxIterations
The maximum number of iterations.
Mean
The mean used for centering the series.
P
The number of autoregressive terms in the ARMA model
Q
The number of moving average terms in the ARMA model
Tolerance
The tolerance for the convergence algorithm.

See Also